AI-interpreted Optical Scattering for Robust and Focal Depth-Aware Imaging
Optical scattering has conventionally been regarded as an impediment in imaging research due to the degradation of image quality during reconstruction. Nevertheless, this study explores two cases in which optical scattering may serve a beneficial role in image reconstruction tasks. We compared the No Scattering MNIST dataset with three Scattering MNIST datasets, each generated under distinct scattering conditions. To assess the information content of the resulting speckle patterns, we employed a Variational Autoencoder (VAE) approach which achieves accuracy comparable to state-of-the-art deep learning approaches, but has an interpretable latent space. We find that scattering can enhance d...
| Authors | Eunji Ko, Patrick Ross, Corey Hart et al. |
|---|---|
| Primary category | physics.optics |
| Published | 24 July 2026 |
| Last updated at source | 24 July 2026 |
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